Image processing apparatus, image processing method, and program

Abstract

An image processing apparatus includes a processor, and the processor is configured to make a determination whether or not imaging targets are included in generation target images used for generation of a composite image among a plurality of images obtained by imaging the imaging targets from a plurality of positions and feature information required for the generation satisfies a predetermined condition, and perform frequency emphasis processing on the generation target images in a case where the feature information satisfies the predetermined condition. The determination and the frequency emphasis processing are iterated until the feature information does not satisfy the predetermined condition.

What is claimed is: 
     
         1 . An image processing apparatus comprising a processor,
 wherein the processor is configured to:   make a determination whether or not imaging targets are included in generation target images used for generation of a composite image among a plurality of images obtained by imaging the imaging targets from a plurality of positions and feature information required for the generation satisfies a predetermined condition; and   perform frequency emphasis processing on the generation target images in a case where the feature information satisfies the predetermined condition, and   wherein the determination and the frequency emphasis processing are iterated until the feature information does not satisfy the predetermined condition.   
     
     
         2 . The image processing apparatus according to  claim 1 ,
 wherein the processor is configured to determine whether or not the feature information satisfies the predetermined condition based on imaging target information, which is information related to a characteristic of the imaging target.   
     
     
         3 . The image processing apparatus according to  claim 2 ,
 wherein the imaging target information includes information indicating a type, a color, a material, and/or a surface state of the imaging target.   
     
     
         4 . The image processing apparatus according to  claim 1 ,
 wherein the feature information includes a first value based on the number of feature points included in the generation target image.   
     
     
         5 . The image processing apparatus according to  claim 2 ,
 wherein the feature information includes a first value based on the number of feature points included in the generation target image.   
     
     
         6 . The image processing apparatus according to  claim 3 ,
 wherein the feature information includes a first value based on the number of feature points included in the generation target image.   
     
     
         7 . The image processing apparatus according to  claim 4 ,
 wherein the first value is the number of feature points included in an image indicating an overlap region, which is a region in which parts of the imaging targets overlap in the generation target image, or a density of the feature points.   
     
     
         8 . The image processing apparatus according to  claim 4 ,
 wherein the predetermined condition is a condition in which the first value is equal to or less than a second value, which is a predetermined value.   
     
     
         9 . The image processing apparatus according to  claim 7 ,
 wherein the predetermined condition is a condition in which the first value is equal to or less than a second value, which is a predetermined value.   
     
     
         10 . The image processing apparatus according to  claim 8 ,
 wherein the second value is determined according to the imaging target.   
     
     
         11 . The image processing apparatus according to  claim 1 ,
 wherein the frequency emphasis processing is processing including a convolution operation using a mask filter.   
     
     
         12 . The image processing apparatus according to  claim 1 ,
 wherein the frequency emphasis processing is processing including performing Fourier transform and performing inverse Fourier transform on data from which noise is removed based on a result of the Fourier transform.   
     
     
         13 . The image processing apparatus according to  claim 1 ,
 wherein a parameter used in the frequency emphasis processing is set according to the imaging target.   
     
     
         14 . The image processing apparatus according to  claim 1 ,
 wherein the processor is configured to determine whether or not the feature information satisfies the predetermined condition under a condition in which a signal indicating a start instruction is input, and   the start instruction is received by a reception device.   
     
     
         15 . The image processing apparatus according to  claim 1 ,
 wherein the composite image includes a two-dimensional image and/or a three-dimensional image.   
     
     
         16 . An image processing method comprising:
 making a determination whether or not imaging targets are included in generation target images used for generation of a composite image among a plurality of images obtained by imaging the imaging targets from a plurality of positions and feature information required for the generation satisfies a predetermined condition; and   performing frequency emphasis processing on the generation target images in a case where the feature information satisfies the predetermined condition,   wherein the determination and the frequency emphasis processing are iterated until the feature information does not satisfy the predetermined condition.   
     
     
         17 . A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process of:
 making a determination whether or not imaging targets are included in generation target images used for generation of a composite image among a plurality of images obtained by imaging the imaging targets from a plurality of positions and feature information required for the generation satisfies a predetermined condition; and   performing frequency emphasis processing on the generation target images in a case where the feature information satisfies the predetermined condition,   wherein the determination and the frequency emphasis processing are iterated until the feature information does not satisfy the predetermined condition.